Gabe

Reminder that autophagy in skeletal muscle is supported by working out and eating protein, supporting bro science over longevity docs.

For AI to Make America Healthy Again we need MASSIVE improvement in the base layer information that will take years only with tremendous investment. Otherwise, leading with AI is putting the cart before the horse and is doomed to failure. The value of AI is exponentially faster computing power. But what is it you are computing? * Millions of genetic mutations and polymorphisms have been identified, but for almost *all* of them, no one has studied how they affect the protein function. Determining this requires bench research in a wet lab, not compute power. * The way forward based on compute power will be to do genome-wide association studies (GWAS) with diseases. But these lack full confidence in causality and they are heavily biased toward common polymorphisms. They often only uncover the basis of 20-30% of the heredity of a disease. If the other 70-80% is based in rare mutations, many small studies of whole genome sequencing performed on first-degree relatives who share a disease will have to be done. This is best done by an army of independent researchers, not by a corporate-government partnership. * Nutritional epidemiology is trash. * We need longer RCTs in nutrition. * We need more diverse types of RCTs to determine how contextual factors modify nutrient demands. * Medicine does better than nutrition but it too has too limited of an RCT base. * We have huge problems in all disciplines with fraud, p hacking, and replication. We need to GET BACK TO NATURE on the one hand, and to IMPROVE THE BASE LAYER INFORMATION on the other. Improving compute power will help us summarize existing knowledge and more quickly identify problems and potential solutions but relying on it as an authority to build 48-hour disease cures is delusional fantasy.